Publications
Below is a list of the most recent EROS peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order.
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Filter Total Items: 2622
Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005 Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005
The Global Land Survey (GLS) 2005 is a cloud-free, orthorec-tified collection of Landsat imagery acquired during the 2004 to 2007 epoch intended to support global land-cover and ecological monitoring. Due to the numerous complexities in selecting imagery for the GLS2005, NASA and the U.S. Geological Survey (USGS) sponsored the development of an automated scene selection tool, the Large...
Authors
S. Franks, J. G. Masek, R.M.K. Headley, J. Gasch, T. Arvidson
Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol
One of the major efforts in large area land cover mapping over the last two decades was the completion of two U.S. National Land Cover Data sets (NLCD), developed with nominal 1992 and 2001 Landsat imagery under the auspices of the MultiResolution Land Characteristics (MRLC) Consortium. Following the successful generation of NLCD 1992, a second generation MRLC initiative was launched...
Authors
G. Chander, Chengquan Huang, Limin Yang, Collin G. Homer, C. Larson
Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model
Forest change is of great concern for land use decision makers and conservation communities. Quantitative and spatial forest change information is critical for addressing many pressing issues, including global climate change, carbon budgets, and sustainability. In this study, our analysis focuses on the differences in geospatial patterns and their changes between federal forests and...
Authors
Mingshi Li, Chengquan Huang, Zhiliang Zhu, Hua Shi, Heng Lu, Shikui Peng
Lysimetric Evaluation of Simplified Surface Energy Balance Approach in the Texas High Plains Lysimetric Evaluation of Simplified Surface Energy Balance Approach in the Texas High Plains
Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data to estimate evapotranspiration (ET) regionally. However, most EB models are complex to use and efforts are being made to simplify procedures mainly through the scaling of reference ET. The Simplified Surface Energy Balance (SSEB) is one such method. This approach has never been evaluated using...
Authors
Gabriel B. Senay, P.H. Gowda, T.A. Howell, T.H. Marek
Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands
Interferometric Synthetic Aperture Radar (InSAR) has been used to detect relative water level changes in wetlands. We developed an innovative method to integrate InSAR and satellite radar altimetry for measuring absolute or geocentric water level changes and applied the methodology to remote areas of swamp forest in coastal Louisiana. Coherence analysis of InSAR pairs suggested that the...
Authors
J.-W. Kim, Z. Lu, H. Lee, C. K. Shum, C.M. Swarzenski, T.W. Doyle, S.-H. Baek
Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern Louisiana Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern Louisiana
Using multi-temporal European Remote-sensing Satellites (ERS-1/-2) and Canadian Radar Satellite (RADARSAT-1) synthetic aperture radar (SAR) data over the Louisiana coastal zone, we characterize seasonal variations of radar backscat-tering according to vegetation type. Our main findings are as follows. First, ERS-1/-2 and RADARSAT-1 require careful radiometric calibration to perform multi...
Authors
Oh-Ig Kwoun, Z. Lu
Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota
Knowledge of seasonal movements by pronghorns (Antilocapra americana) within the easternmost extension of sagebrush-steppe communities is limited. Current hypotheses regarding movement patterns suggest that pronghorns initiate seasonal movements in response to severe winter weather, snowfall patterns, spatial and temporal variation in forage abundance, and availability of water. From...
Authors
C.N. Jacques, J.A. Jenks, R. W. Klaver
Integrating disparate lidar datasets for a regional storm tide inundation analysis of Hurricane Katrina Integrating disparate lidar datasets for a regional storm tide inundation analysis of Hurricane Katrina
Hurricane Katrina was one of the largest natural disasters in U.S. history. Due to the sheer size of the affected areas, an unprecedented regional analysis at very high resolution and accuracy was needed to properly quantify and understand the effects of the hurricane and the storm tide. Many disparate sources of lidar data were acquired and processed for varying environmental reasons by...
Authors
Jason M. Stoker, Dean J. Tyler, D. Phil Turnipseed, K. Van Wilson, Michael J. Oimoen
Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe
For thirty years, simple crop water balance models have been used by the early warning community to monitor agricultural drought. These models estimate and accumulate actual crop evapotranspiration, evaluating environmental conditions based on crop water requirements. Unlike seasonal rainfall totals, these models take into account the phenology of the crop, emphasizing conditions during...
Authors
Chris Funk, Michael E. Budde
Aggressive defensive behavior by free-ranging white-tailed deer Aggressive defensive behavior by free-ranging white-tailed deer
Maternal investment plays a critical role in neonate survival, and adults can improve survival of offspring by defending them against predators. However, limited information exists documenting ungulate aggression toward humans in defense of neonates. During captures of neonates in spring 2007 and 2008 in north-central South Dakota, we documented 24 aggressive encounters by adult female...
Authors
T.W. Grovenburg, J.A. Jenks, C.N. Jacques, R. W. Klaver, C. C. Swanson
TerraLook: GIS-Ready Time-Series of Satellite Imagery for Monitoring Change TerraLook: GIS-Ready Time-Series of Satellite Imagery for Monitoring Change
TerraLook is a joint project of the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) with a goal of providing satellite images that anyone can use to see changes in the Earth's surface over time. Each TerraLook product is a user-specified collection of satellite images selected from imagery archived at the USGS...
Authors
Water Resources Division U.S. Geological Survey
Uncertainty and sensitivity issues in process-based models of carbon and nitrogen cycles in terrestrial ecosystems Uncertainty and sensitivity issues in process-based models of carbon and nitrogen cycles in terrestrial ecosystems
Many process-based models of carbon (C) and nitrogen (N) cycles have been developed for northern forest ecosystems. These models are widely used to evaluate the long-term decisions in forest management dealing with effects like particulate pollution, productivity and climate change. Regarding climate change, one of the key questions that have sensitive political implications is whether...
Authors
Guy R. Larocque, Jagtar S. Bhatti, A.M. Gordon, N. Luckai, M. Wattenbach, Jinxun Liu, Peng C., P.A. Arp, S. Liu, C.F. Zhang, A Komarov, P. Grabarnik, J. Sun, T. White